Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)

**Pay:** $100-$200 per hour (USD). **Role Title:** Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter) **Role Type:** Part-Time, Contractor **Location:** Fully Remote, Open to candidates worlwide **Schedule:** 5-10+ hrs/week. Fully flexible (Can accomodate after hours + weekends if needed) micro1 is engaging Physics Experts (Statistical Physics / Quantum Information / Condensed Matter) to contribute to a research-driven customer project at the intersection of theoretical physics and numerical benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. **Scope of Work** 1. Analyze and provide expert insights into complex statistical physics phenomena, with a focus on replicated random-bond Ising/Ashkin-Teller models, the toric-code threshold, and the Nishimori line. 2. Deliver clear, well-documented solutions or critiques of problems relating to Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy. 3. Engage in advanced numerical work, particularly around 4-state Potts model simulations and interpretation. 4. Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features. 5. Participate as a Solver, Auditor, or Adjudicator on specific project assignments based on your experience and subfield strengths. **Preferred Qualifications** 1. Advanced academic background (PhD or equivalent experience) in physics, with specialization in statistical physics, quantum information, or condensed matter theory. 2. Direct, hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research or project settings. 3. Demonstrated proficiency in numerical simulations involving the 4-state Potts model and analysis of domain-wall free energy. 4. Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.